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一种新的自适应波束形成优化算法 被引量:1

Novel Optimization Algorithm of Adaptive Beamforming
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摘要 结合信号处理技术引入了哈密顿优化算法,将哈密顿算法(HA)作为解决电控寄生天线(ESPAR)的自适应波束形成技术非线性问题的工具.将描述粒子运动的哈密顿方程用来解决优化问题,势能作为波束形成的代价函数,动能由动量代替,研究结果表明,该算法为寻求代价函数的全局最小值提供了一个更大的可能性.仿真结果也说明了采用哈密顿算法的ESPAR天线能够灵活地驾驭其主波束和零陷. The hamiltonian optimization algorithm is introduced with the signal processing technique, HA solves non-lin- ear optimization problem of the adaptive beamforming for Espar antenna. Potential energy is regarded as beam-forming cost function. Kinetic energy is replaced by momentum. Simulation shows that the algorithm provides a more possibility to find the global minimum of cost function,and the Espar antenna with HA could steer its main beam and nulls flexibly.
出处 《河南师范大学学报(自然科学版)》 CAS CSCD 北大核心 2012年第4期144-147,共4页 Journal of Henan Normal University(Natural Science Edition)
基金 河南师范大学教育科学研究基金(2011J01) 河南师范大学青年基金(2011Qk23)
关键词 哈密顿算法 波束形成 代价函数 hamiltonian algorithm beamforming cost function
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